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Factors influencing the content of Smart City initiatives(particularly based on institutional theories of organization)

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  • Karina RADCHENKO

    (Institute of Industrial Economy of the National Academy of Sciences of Ukraine,Paris-Lodron University,Salzburg, Austria)

Abstract

This paper aims to consider the factors shaping the smart city structures from the perspective of institutional organizational theories and in context of sustainable development. Prior work The previous findings have revealed significant lack of attention to factors impacting the smart city concept. Approach The paper applies literature reviews and survey analysis involving the experts in the field of smart cities. Results The paper applies literature reviews and survey analysis involving the experts in the field of smart cities. Implications The study provides the perspective useful for local and regional authorities as well as other parties involved in smart city implementation and development. Value The paper proposes the extended multi-factor smart city model approach encompassing the factors from different theories.

Suggested Citation

  • Karina RADCHENKO, 2024. "Factors influencing the content of Smart City initiatives(particularly based on institutional theories of organization)," Smart Cities and Regional Development (SCRD) Journal, Smart-EDU Hub, Faculty of Public Administration, National University of Political Studies & Public Administration, vol. 8(3), pages 55-64, April.
    • Handle: RePEc:pop:journl:v:8:y:2024:i:3:p:55-64
    DOI: https://doi.org/10.25019/yxf9wh55
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    References listed on IDEAS

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    1. Francesco Schiavone & Francesco Paolo Appio & Luca Mora & Marcello Risitano, 2020. "The strategic, organizational, and entrepreneurial evolution of smart cities," International Entrepreneurship and Management Journal, Springer, vol. 16(4), pages 1155-1165, December.
    2. Abbate, Tindara & Cesaroni, Fabrizio & Cinici, Maria Cristina & Villari, Massimo, 2019. "Business models for developing smart cities. A fuzzy set qualitative comparative analysis of an IoT platform," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 183-193.
    3. Seunghwan Myeong & Yuseok Jung & Eunuk Lee, 2018. "A Study on Determinant Factors in Smart City Development: An Analytic Hierarchy Process Analysis," Sustainability, MDPI, vol. 10(8), pages 1-17, July.
    4. Paul Pierce & Francesca Ricciardi & Alessandro Zardini, 2017. "Smart Cities as Organizational Fields: A Framework for Mapping Sustainability-Enabling Configurations," Sustainability, MDPI, vol. 9(9), pages 1-21, August.
    5. N. Komninos & C. Kakderi & A. Panori & P. Tsarchopoulos, 2019. "Smart City Planning from an Evolutionary Perspective," Journal of Urban Technology, Taylor & Francis Journals, vol. 26(2), pages 3-20, April.
    6. van den Buuse, Daniel & Kolk, Ans, 2019. "An exploration of smart city approaches by international ICT firms," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 220-234.
    7. María Verónica Alderete, 2020. "Exploring the Smart City Indexes and the Role of Macro Factors for Measuring Cities Smartness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(2), pages 567-589, January.
    8. Camboim, Guilherme Freitas & Zawislak, Paulo Antônio & Pufal, Nathália Amarante, 2019. "Driving elements to make cities smarter: Evidences from European projects," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 154-167.
    9. Abdulrahman Habib & Duha Alsmadi & Victor R. Prybutok, 2020. "Factors that determine residents’ acceptance of smart city technologies," Behaviour and Information Technology, Taylor & Francis Journals, vol. 39(6), pages 610-623, June.
    10. repec:dau:papers:123456789/11402 is not listed on IDEAS
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